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PranavMishra17/README.md

llm.invoke("Generate a bio")

┌─[ PRANAV MISHRA ]─────────────────────────────────────┐
│ ▶ AI/ML Engineer & Game Developer                     │
│ ▶ Research Software Engineer @ UIC                    │
│ ▶ AIML Intern @ WheelPrice Inc                        │
└───────────────────────────────────────────────────────┘

Portfolio LinkedIn Resume YouTube Hugging Face Google Scholar

"I would rather vibe-code than not code at all" ✨🚀

┌─[ Bio ]───────────────────────────────────────────────────────────┐
|   Game Dev and full stack engineer with expertise in agentic AI,  |
|   multi-agent systems, custom RAG, MLOps, and AWS. I build        |
|   scalable web apps, immersive games, and VR experiences-         |
|   research-driven and production-ready.                           |
└───────────────────────────────────────────────────────────────────┘

🏆 Major Wins

🥇 SnAIder-Cut - Meta Quest 3 app | Won a special track at MIT XR Hackathon, Jan 2024, Boston, MA

📝 ICML 2026 (in prep) - Multi-agent system using SLMs with modular teamwork components Link ↗

📝 PAKDD 2026 (under review) - Big5 Agents framework submission as TeamMedAgents Link ↗

🥇 HINT 5.0 Hackathon Winner - Virtual van Gogh: Virtual art museum for NFT collections

🕴🏼 IEEE 2025 - Presented MetaRAG paper at Informs+ Conference at Indianapolis, IN, US

✅ Built & Shipped

  • 🗣️ MockFlow.ai 🌟 : AI-Powered Mock Interview Platform with Real-Time Voice Interaction Link ↗

  • 📰 Resume-Craft-Pro 🌟: A full-stack AI web app for Resume customization with intelligent agentic architecture Link ↗

  • 🐍 SnakeAI-MLOps: Complete RL pipeline with 4 algorithms + deployment Link ↗

  • 🎨 Auto-PaintSeg: Diffusion models for automated image segmentation Link ↗

  • 🌌 Stellarium: VR space odyssey with 107K+ real astronomical objects Link ↗

⚡ The Arsenal

class PranavMishra:
    def __init__(self):
        # Core Languages
        self.languages = ["Python", "C++", "JavaScript/TypeScript", "C#", "Java", "Rust"]
        
        # AI/ML Stack
        self.ai_frameworks = ["PyTorch", "TensorFlow", "LangChain", "LangGraph", "LibTorch", "Transformers"]
        self.ai_platforms = ["OpenAI API", "Anthropic Claude", "Google Gemini", "Azure OpenAI", "Hugging Face"]
        self.mlops = ["vLLM", "Docker", "GitHub Actions", "Model Versioning", "Experiment Tracking"]
        self.specialties = [
            "Multi-Agent Systems", 
            "RAG Architectures", 
            "Computer Vision", 
            "Reinforcement Learning",
            "NLP/LLMs",
            "Small Language Models",
            "Healthcare AI"
        ]
        
        # Full-Stack & Infrastructure
        self.web_stack = {
            "frontend": ["React", "Next.js", "TypeScript", "Tailwind"],
            "backend": ["FastAPI", "Node.js", "Flask", "Django", "Express.js"],
            "realtime": ["WebSockets", "Azure Speech Services", "Streaming APIs"]
        }
        self.databases = ["PostgreSQL", "MongoDB", "Pinecone", "CosmosDB", "Redis", "pgvector"]
        self.cloud_platforms = ["Azure", "AWS (EC2, S3, Lambda)", "GCP", "Railway", "Vercel"]
        self.devops = ["Docker", "Kubernetes", "CI/CD Pipelines", "Git", "Infrastructure as Code"]
        
        # Game/XR Development
        self.game_engines = ["Unity (C#)", "Unreal Engine 5 (C++)", "SFML", "WebXR"]
        self.xr_experience = "MIT Reality Hack 2024 Winner 🏆"
        
        # Research & Production Experience
        self.current_work = {
            "research": "UIC V-ARE Labs - Healthcare AI, VR/AR Medical Training",
            "industry": "WheelPrice (Techstars) - Production CV/ML Systems",
            "academic": "AAAI 2025 Submission (First Author) - Multi-Agent Medical AI"
        }
        
        # Notable Projects
        self.portfolio_highlights = [
            "TeamMedAgents: Multi-agent medical AI (7/8 benchmark improvements)",
            "SLM-TeamMedAgents: Extended to Small Language Models (Google ADK)",
            "MetaRAG: Enterprise RAG (10K+ docs/hour, Kafka pipelines)",
            "IVORY: Production RAG platform on Azure (medical education)",
            "ClauseCraft: Agentic document editor (Gemini + MCP)",
            "Flow Planner: Autonomous UI workflow capture (Browser-Use + Claude)",
            "SnakeAI-MLOps: Complete MLOps pipeline (5x training speedup)",
            "Patient Care Automation: HIPAA-compliant healthcare workflows"
        ]
        
        # What Drives Me
        self.builder_mindset = "Ship fast. Own outcomes. Learn relentlessly."
        self.work_style = "Take ownership beyond my role. Figure it out. Deliver results."
        
    def mission(self):
        return "Building AI systems that solve real problems - from research to production 🚀🤖"
    
    def get_in_touch(self):
        return {
            "email": "pmishr23@uic.edu",
            "phone": "773-280-4615",
            "portfolio": "https://portfolio-pranav-mishra-paranoid.vercel.app",
            "google scholar": "https://scholar.google.com/citations?hl=en&authuser=1&user=_Twn_owAAAAJ",
            "linkedin": "https://linkedin.com/in/pranavgamedev"
        }
    

Pinned Loading

  1. MockFlow-AI MockFlow-AI Public

    Voice-based mock interview platform featuring intelligent conversation management and time-aware stage transitions

    Python 4

  2. SLM-TeamMedAgents SLM-TeamMedAgents Public

    A flexible multi-agent system using SLMs with modular teamwork components based on the Big Five teamwork model. Agents collaborate on various tasks with configurable teamwork behaviors.

    Python

  3. MedRAG-Avatar-Platform-IVORY MedRAG-Avatar-Platform-IVORY Public

    A web application for creating and interacting with custom talking avatars powered by Azure Cognitive Services and Custom RAG technology.

    JavaScript 1

  4. Resume-Craft-Pro Resume-Craft-Pro Public

    A full-stack AI web app for Resume customization with intelligent agentic architecture

    TypeScript 2

  5. ResumeCraft-Latex-resume-optimizer ResumeCraft-Latex-resume-optimizer Public

    Intelligently optimize LaTeX resumes with AI-powered keyword integration

    Python 6 1

  6. Metadata-Enrichment-with-LLMs-for-RAGs-Internal-Knowledge-Retrieval Metadata-Enrichment-with-LLMs-for-RAGs-Internal-Knowledge-Retrieval Public

    A comprehensive framework for enhancing Retrieval-Augmented Generation (RAG) systems through metadata enrichment, advanced chunking strategies, and neural retrieval techniques.

    Python 2 1